Title |
Are cultural dimensions relevant for explaining cross-national differences in antibiotic use in Europe?
|
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Published in |
BMC Health Services Research, June 2008
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DOI | 10.1186/1472-6963-8-123 |
Pubmed ID | |
Authors |
Reginald Deschepper, Larissa Grigoryan, Cecilia Stålsby Lundborg, Geert Hofstede, Joachim Cohen, Greta Van Der Kelen, Luc Deliens, Flora M Haaijer-Ruskamp |
Abstract |
Antibiotics are widely-used medicines for which a more prudent use has been advocated to minimize development of resistance. There are considerable cross-national differences that can only partially be explained by epidemiological difference and variations in health care structure. The aim of this study was to explore whether cross-national differences in use of antibiotics (prescribed and non-prescribed) are associated with differences between national cultures as described in Hofstede's model of cultural dimensions (Power Distance, Individualism, Masculinity, Uncertainty Avoidance and Long-Term Orientation). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 29% |
France | 1 | 14% |
Korea, Democratic People's Republic of | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 4 | 57% |
Members of the public | 2 | 29% |
Scientists | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
Uruguay | 1 | <1% |
Austria | 1 | <1% |
Brazil | 1 | <1% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
Belgium | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Other | 0 | 0% |
Unknown | 189 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 44 | 22% |
Student > Ph. D. Student | 32 | 16% |
Researcher | 25 | 13% |
Student > Doctoral Student | 17 | 9% |
Professor | 10 | 5% |
Other | 40 | 20% |
Unknown | 31 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 56 | 28% |
Business, Management and Accounting | 23 | 12% |
Social Sciences | 23 | 12% |
Agricultural and Biological Sciences | 9 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 9 | 5% |
Other | 40 | 20% |
Unknown | 39 | 20% |